Patient Centered Machine Learning Model for Bleeding and Ischemic Risk

Plain-language summary

Dual antiplatelet therapy (DAPT) is indicated in all patients undergoing coronary stent implantation to prevent ischemic recurrencies despite an increased risk of bleeding. Accordingly, clinical practice guidelines advocate tailoring DAPT duration according to the patient's individual ischemic and bleeding risk profile. Data from 11 clinical trials involving patients who underwent percutaneous coronary intervention (PCI) with an everolimus-eluting stent will be pooled and analyzed to develop a machine learning-based algorithm to predict the probability of an ischemic or bleeding event up to 1 year. These predictive risk models aim to support clinical decision-making on DAPT management after PCI.

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